library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──
## ✓ ggplot2 3.3.3     ✓ purrr   0.3.4
## ✓ tibble  3.0.6     ✓ dplyr   1.0.4
## ✓ tidyr   1.1.2     ✓ stringr 1.4.0
## ✓ readr   1.4.0     ✓ forcats 0.5.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()
library(lubridate)
## 
## Attaching package: 'lubridate'
## The following objects are masked from 'package:base':
## 
##     date, intersect, setdiff, union
library(plotly)
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## The following object is masked from 'package:stats':
## 
##     filter
## The following object is masked from 'package:graphics':
## 
##     layout
library(reshape2)
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## Attaching package: 'reshape2'
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##     smiths
library(directlabels)
library(scales)
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## Attaching package: 'scales'
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##     discard
## The following object is masked from 'package:readr':
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##     col_factor
library("ggrepel")

library(TTR)
library(DT)
library(ggplot2)
library(gganimate)
library(highcharter)
## Registered S3 method overwritten by 'quantmod':
##   method            from
##   as.zoo.data.frame zoo
library(printr)
## Registered S3 method overwritten by 'printr':
##   method                from     
##   knit_print.data.frame rmarkdown
library(printr)
df <- read.csv("https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/jhu/full_data.csv")
location <- read.csv("https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_daily_reports/01-01-2021.csv")
df[is.na(df)]=0
df$Death_Moving_Average<-SMA(df$new_deaths, n=7)
df$Death_Moving_Average <- round(df$Death_Moving_Average, digits = 2)

df$Case_Moving_Average<-SMA(df$new_case, n=7)
df$Case_Moving_Average <- round(df$Case_Moving_Average, digits = 2)
df$date <- ymd(df$date)
library(printr)
#datatable(df)
d <- df %>% filter(location %in% c("India","Nepal")) %>%
  group_by(location,date) %>% 
  ggplot(aes(x=date, color=location))+
  geom_line(aes(y=total_cases), lwd=1)+
  #geom_line(aes(y=new_deaths),linetype="dotted", lwd=1)+
  scale_y_continuous(label=comma)+
  scale_y_continuous(trans ="log10",breaks  =c(0,10,100,1000,10000,100000,1000000,10000000,100000000),label=comma)+
  labs(x="",
       y="Total Cases",
       title="COVID Cases in Nepal and India",
       caption="Source: John Hopkins University \n Note: Data is from Jan 25, 2020 through May 2, 2021")+
      theme(axis.text.x = element_text(angle=90,size = 10),
          axis.text.y = element_text(size=10),
          axis.title.x = element_text(size = 10),
        axis.ticks.x=element_blank(),
       plot.background=element_rect(fill="white"),
       panel.background=element_rect(fill="white"),
      #panel.grid.major.y = element_blank(),
      panel.grid.major.x = element_blank(),
      #panel.grid.minor.y = element_blank(),
       panel.grid.minor.x = element_blank(),
       legend.position = "right",
      legend.title = element_blank())+
  
   scale_x_date(date_breaks = "months" , date_labels = "%b-%y")
## Scale for 'y' is already present. Adding another scale for 'y', which will
## replace the existing scale.
ggsave("COVID.png")
## Saving 7 x 5 in image
ggplotly(d)
d <- df %>% filter(location %in% c("India","United States", "Brazil")) %>%
  group_by(location,date) %>% 
  ggplot(aes(x=date, color=location))+
  geom_line(aes(y=total_cases), lwd=1)+
  #geom_line(aes(y=new_deaths),linetype="dotted", lwd=1)+
  scale_y_continuous(label=comma)+
  #scale_y_continuous(trans ="log10",breaks  =c(0,10,100,1000,10000,100000,1000000,10000000,100000000),label=comma)+
  labs(x="",
       y="Total Cases",
       title="COVID Cases",
       caption="Source: John Hopkins University \n Note: Data is from Jan 25, 2020 through April 27, 2021")+
      theme(axis.text.x = element_text(angle=90,size = 10),
          axis.text.y = element_text(size=10),
          axis.title.x = element_text(size = 10),
        axis.ticks.x=element_blank(),
       plot.background=element_rect(fill="white"),
       panel.background=element_rect(fill="white"),
      #panel.grid.major.y = element_blank(),
      panel.grid.major.x = element_blank(),
      #panel.grid.minor.y = element_blank(),
       panel.grid.minor.x = element_blank(),
       legend.position = "right",
      legend.title = element_blank())+
  
   scale_x_date(date_breaks = "months" , date_labels = "%b-%y")

#ggsave("COVID.png")
  

  
 
ggplotly(d)
df$months <- month(df$date,label = TRUE)
df$Year<-year(df$date)
df$dates <- paste(df$months,df$Year,"1", sep="-")
df$dates <- myd(df$dates)

dff <- df %>% 
  filter(location %in% c("India")) %>% 
  group_by(dates,location) %>% 
  summarise(Cases=sum(new_cases)) %>% 
  ggplot(aes(dates,Cases))+
  geom_bar(stat="identity",fill="red")+
  scale_y_continuous(label=comma)+
  scale_x_date(date_breaks = "months" , date_labels = "%b-%y")+
  theme(axis.text.x = element_text(angle=90))
## `summarise()` has grouped output by 'dates'. You can override using the `.groups` argument.
ggplotly(dff)
d <- df %>% filter(location %in% c("India","Nepal")) %>%
  group_by(location,date) %>% 
  ggplot(aes(x=date, color=location))+
  geom_line(aes(y=new_cases), lwd=1)+
  #geom_line(aes(y=new_deaths),linetype="dotted", lwd=1)+
  scale_y_continuous(label=comma)+
  
  #scale_y_continuous(trans ="log10",breaks  =c(0,10,100,1000,10000,100000,1000000,10000000,100000000),label=comma)+
  labs(x="",
       y="Total Cases",
       title="COVID Cases in Nepal and India",
       caption="Source: John Hopkins University \n Note: Data is from Jan 25, 2020 through April 27, 2021")+
      theme(axis.text.x = element_text(angle=90,size = 10),
          axis.text.y = element_text(size=10),
          axis.title.x = element_text(size = 10),
        axis.ticks.x=element_blank(),
       plot.background=element_rect(fill="white"),
       panel.background=element_rect(fill="white"),
      #panel.grid.major.y = element_blank(),
      panel.grid.major.x = element_blank(),
      #panel.grid.minor.y = element_blank(),
       panel.grid.minor.x = element_blank(),
       legend.position = "right",
      legend.title = element_blank())+
  
   scale_x_date(date_breaks = "months" , date_labels = "%b-%y")

#ggsave("COVID.png")
  

  
 
ggplotly(d)
d <- df %>% filter(location %in% c("India","Nepal")) %>%
  group_by(location,date) %>% 
  ggplot(aes(x=date, color=location))+
  geom_line(aes(y=new_deaths), lwd=1)+
  #geom_line(aes(y=new_deaths),linetype="dotted", lwd=1)+
  scale_y_continuous(breaks=seq(0,6000, by=400),label=comma)+
  #scale_y_continuous(trans ="log10",breaks  =c(0,10,100,1000,10000,100000,1000000,10000000,100000000),label=comma)+
  labs(x="",
       y="Total Cases",
       title="COVID Cases in Nepal and India",
       caption="Source: John Hopkins University \n Note: Data is from Jan 25, 2020 through April 27, 2021")+
      theme(axis.text.x = element_text(angle=90,size = 10),
          axis.text.y = element_text(size=10),
          axis.title.x = element_text(size = 10),
        axis.ticks.x=element_blank(),
       plot.background=element_rect(fill="white"),
       panel.background=element_rect(fill="white"),
      #panel.grid.major.y = element_blank(),
      panel.grid.major.x = element_blank(),
      #panel.grid.minor.y = element_blank(),
       panel.grid.minor.x = element_blank(),
       legend.position = "right",
      legend.title = element_blank())+
  
   scale_x_date(date_breaks = "months" , date_labels = "%b-%y")

#ggsave("COVID.png")
  

  
 
ggplotly(d)
d <- df %>% filter(location %in% c("India","United States", "Brazil","Russia")) %>%
  group_by(location,date) %>% 
  ggplot(aes(x=date, color=location))+
  geom_line(aes(y=total_deaths), lwd=1)+
  #geom_line(aes(y=new_deaths),linetype="dotted", lwd=1)+
  scale_y_continuous(label=comma)+
  #scale_y_continuous(trans ="log10",breaks  =c(0,10,100,1000,10000,100000,1000000,10000000,100000000),label=comma)+
  labs(x="",
       y="Total Cases",
       title="COVID Cases in Nepal and India",
       caption="Source: John Hopkins University \n Note: Data is from Jan 25, 2020 through April 27, 2021")+
      theme(axis.text.x = element_text(angle=90,size = 10),
          axis.text.y = element_text(size=10),
          axis.title.x = element_text(size = 10),
        axis.ticks.x=element_blank(),
       plot.background=element_rect(fill="white"),
       panel.background=element_rect(fill="white"),
      #panel.grid.major.y = element_blank(),
      panel.grid.major.x = element_blank(),
      #panel.grid.minor.y = element_blank(),
       panel.grid.minor.x = element_blank(),
       legend.position = "right",
      legend.title = element_blank())+
  
   scale_x_date(date_breaks = "months" , date_labels = "%b-%y")

#ggsave("COVID.png")
  

  
 
ggplotly(d)
g <- df %>% filter(location%in%c("Nepal", "India")) %>% 
  group_by(location,date) %>% 
ggplot(aes(x=date,color=location ))+
  geom_line(aes(y=Death_Moving_Average),lwd=1)+
  #scale_y_continuous(labels=comma)+
  #geom_line(aes(y=Death_Moving_Average), lwd=1)+
  #scale_y_continuous(trans="log10",breaks=c(1,10,100,1000,10000,100000,1000000),labels = comma)+
 
  scale_x_date(date_breaks = "months" , date_labels = "%b-%y")+

  theme(axis.text.x = element_text(angle=90),
        legend.title = element_blank())
  
ggplotly(g)
h<- df %>% filter(location=="India") %>% 
  ggplot(aes(x=date))+
  
  #geom_line(aes(y=Case_Moving_Average), lwd=1)+
  scale_y_continuous(labels=comma)+
  geom_area(aes(y=Death_Moving_Average), lwd=1)+
  #scale_y_continuous(trans="log10",breaks=c(1,10,100,1000,10000,100000,1000000),labels = comma)+
  scale_x_date(date_breaks = "months" , date_labels = "%b-%y")+

  theme(axis.text.x = element_text(angle=90),
        legend.title = element_blank())
  
ggplotly(h)
ef <-df %>% 
  filter(location=="India") %>% 
  ggplot()+
  geom_col(aes(x=date,y=new_deaths),color="black",fill="blue")+
  geom_line(aes(x=date,y=Death_Moving_Average), lwd=1, color="red")+
  scale_y_continuous(sec.axis = sec_axis(~./1, name = "Moving Average deaths"))+
  scale_x_date(date_breaks = "months" , date_labels = "%b-%y")+
  theme(axis.text.x = element_text(angle=90),
        legend.title = element_blank())
ggplotly(ef)
eg <- df %>% 
  filter(location=="Nepal") %>% 
  ggplot()+
  geom_col(aes(x=date,y=new_cases),color="black",fill="blue")+
  geom_line(aes(x=date,y=Case_Moving_Average), lwd=1, color="red")+
  scale_y_continuous(sec.axis = sec_axis(~./1, name = "Moving Average Cases"))+
  scale_y_continuous(labels = comma)+
  labs(y="Cases",
       x="",
       title = "Nepal COVID Cases",
       subtitle = "New and Seven Day Moving Average",
       caption = "John Hopkins University  \n bars are new cases and line is seven days moving average")+
  
  scale_x_date(date_breaks = "month" , date_labels = "%b-%y")+
  theme(axis.text.x = element_text(angle=90, size = 10),
        panel.grid.major.x = element_blank(),
        panel.grid.minor.x  = element_blank(),
        plot.background = element_rect(fill="white"),
        panel.background = element_rect(fill="white"),
          axis.text.y = element_text(size=10),
          axis.title.x = element_text(size = 10),
        axis.ticks.x=element_blank(),
        plot.caption = element_text(face="bold.italic"))
## Scale for 'y' is already present. Adding another scale for 'y', which will
## replace the existing scale.
ggplotly(eg)
nepal_cases<- df %>% filter(location=="Nepal") %>% 
ggplot(aes(x=date, y=new_cases))+
  geom_line(lwd=1)+
  #scale_y_continuous(labels=comma)+
  #geom_line(aes(y=Death_Moving_Average), lwd=1)+
  #scale_y_continuous(trans="log10",breaks=c(1,10,100,1000,10000,100000,1000000),labels = comma)+
  scale_x_date(date_breaks = "months" , date_labels = "%b-%y")+

  theme(axis.text.x = element_text(angle=90),
        legend.title = element_blank())
  
ggplotly(nepal_cases)
nepal_death<- df %>% filter(location=="Nepal") %>% 
ggplot(aes(x=date, y=new_deaths))+
  geom_line(lwd=1, color="red")+
  #scale_y_continuous(labels=comma)+
  #geom_line(aes(y=Death_Moving_Average), lwd=1)+
  #scale_y_continuous(trans="log10",breaks=c(1,10,100,1000,10000,100000,1000000),labels = comma)+
  scale_x_date(date_breaks = "months" , date_labels = "%b-%y")+
  labs(title="Daily Deaths",
       x="",
      y="" )+

  theme(axis.text.x = element_text(angle=90, size = 10),
        axis.text.y = element_text(size=10, color="red"),
        
        legend.title = element_blank())
  
ggplotly(nepal_death)
nepal_death<- df %>% filter(location=="Nepal") %>% 
ggplot(aes(x=date, y=new_deaths))+
  geom_bar(stat = "identity")+
  #scale_y_continuous(labels=comma)+
  #geom_line(aes(y=Death_Moving_Average), lwd=1)+
  #scale_y_continuous(trans="log10",breaks=c(1,10,100,1000,10000,100000,1000000),labels = comma)+
  scale_x_date(date_breaks = "months" , date_labels = "%b-%y")+

  theme(axis.text.x = element_text(angle=90),
        legend.title = element_blank())
  
ggplotly(nepal_death)
nepal_death_total<- df %>% filter(location=="Nepal") %>% 
ggplot(aes(x=date, y=total_deaths))+
  geom_bar(stat = "identity", color="purple")+
  #scale_y_continuous(labels=comma)+
  #geom_line(aes(y=Death_Moving_Average), lwd=1)+
  #scale_y_continuous(trans="log10",breaks=c(1,10,100,1000,10000,100000,1000000),labels = comma)+
  scale_x_date(date_breaks = "months" , date_labels = "%b-%y")+

  theme(axis.text.x = element_text(angle=90),
        legend.title = element_blank())
  
ggplotly(nepal_death_total)
nepal_cases_total<- df %>% filter(location=="Nepal") %>% 
ggplot(aes(x=date, y=total_cases))+
  geom_bar(stat = "identity", fill="red")+
  scale_y_continuous(labels=comma)+
  #geom_line(aes(y=Death_Moving_Average), lwd=1)+
  #scale_y_continuous(trans="log10",breaks=c(1,10,100,1000,10000,100000,1000000),labels = comma)+
  scale_x_date(date_breaks = "months" , date_labels = "%b-%y")+

  theme(axis.text.x = element_text(angle=90),
        legend.title = element_blank())
  
ggplotly(nepal_cases_total)
df %>% filter(location=="Nepal") %>% 
hchart("column", hcaes(date,total_cases))
df %>% filter(location=="Nepal") %>% 
  ggplot(aes(new_cases))+
  geom_density()

df %>% 
  filter(location == "Nepal") %>% 
  mutate(Death_Percentage_Change=(total_deaths/lead(total_deaths)))
date location new_cases new_deaths total_cases total_deaths weekly_cases weekly_deaths biweekly_cases biweekly_deaths Death_Moving_Average Case_Moving_Average months Year dates Death_Percentage_Change
2020-01-25 Nepal 1 0 1 0 0 0 0 0 4.43 160.29 Jan 2020 2020-01-01 NaN
2020-01-26 Nepal 0 0 1 0 0 0 0 0 4.14 129.14 Jan 2020 2020-01-01 NaN
2020-01-27 Nepal 0 0 1 0 0 0 0 0 4.14 129.14 Jan 2020 2020-01-01 NaN
2020-01-28 Nepal 0 0 1 0 0 0 0 0 4.00 98.29 Jan 2020 2020-01-01 NaN
2020-01-29 Nepal 0 0 1 0 0 0 0 0 2.14 59.86 Jan 2020 2020-01-01 NaN
2020-01-30 Nepal 0 0 1 0 1 0 0 0 1.43 35.29 Jan 2020 2020-01-01 NaN
2020-01-31 Nepal 0 0 1 0 1 0 0 0 0.00 0.14 Jan 2020 2020-01-01 NaN
2020-02-01 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-02 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-03 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-04 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-05 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-06 Nepal 0 0 1 0 0 0 1 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-07 Nepal 0 0 1 0 0 0 1 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-08 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-09 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-10 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-11 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-12 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-13 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-14 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-15 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-16 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-17 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-18 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-19 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-20 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-21 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-22 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-23 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-24 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-25 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-26 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-27 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-28 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-02-29 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Feb 2020 2020-02-01 NaN
2020-03-01 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-02 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-03 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-04 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-05 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-06 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-07 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-08 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-09 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-10 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-11 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-12 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-13 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-14 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-15 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-16 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-17 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-18 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-19 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-20 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-21 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-22 Nepal 0 0 1 0 0 0 0 0 0.00 0.00 Mar 2020 2020-03-01 NaN
2020-03-23 Nepal 1 0 2 0 1 0 1 0 0.00 0.14 Mar 2020 2020-03-01 NaN
2020-03-24 Nepal 0 0 2 0 1 0 1 0 0.00 0.14 Mar 2020 2020-03-01 NaN
2020-03-25 Nepal 1 0 3 0 2 0 2 0 0.00 0.29 Mar 2020 2020-03-01 NaN
2020-03-26 Nepal 0 0 3 0 2 0 2 0 0.00 0.29 Mar 2020 2020-03-01 NaN
2020-03-27 Nepal 1 0 4 0 3 0 3 0 0.00 0.43 Mar 2020 2020-03-01 NaN
2020-03-28 Nepal 1 0 5 0 4 0 4 0 0.00 0.57 Mar 2020 2020-03-01 NaN
2020-03-29 Nepal 0 0 5 0 4 0 4 0 0.00 0.57 Mar 2020 2020-03-01 NaN
2020-03-30 Nepal 0 0 5 0 3 0 4 0 0.00 0.43 Mar 2020 2020-03-01 NaN
2020-03-31 Nepal 0 0 5 0 3 0 4 0 0.00 0.43 Mar 2020 2020-03-01 NaN
2020-04-01 Nepal 0 0 5 0 2 0 4 0 0.00 0.29 Apr 2020 2020-04-01 NaN
2020-04-02 Nepal 1 0 6 0 3 0 5 0 0.00 0.43 Apr 2020 2020-04-01 NaN
2020-04-03 Nepal 0 0 6 0 2 0 5 0 0.00 0.29 Apr 2020 2020-04-01 NaN
2020-04-04 Nepal 3 0 9 0 4 0 8 0 0.00 0.57 Apr 2020 2020-04-01 NaN
2020-04-05 Nepal 0 0 9 0 4 0 8 0 0.00 0.57 Apr 2020 2020-04-01 NaN
2020-04-06 Nepal 0 0 9 0 4 0 7 0 0.00 0.57 Apr 2020 2020-04-01 NaN
2020-04-07 Nepal 0 0 9 0 4 0 7 0 0.00 0.57 Apr 2020 2020-04-01 NaN
2020-04-08 Nepal 0 0 9 0 4 0 6 0 0.00 0.57 Apr 2020 2020-04-01 NaN
2020-04-09 Nepal 0 0 9 0 3 0 6 0 0.00 0.43 Apr 2020 2020-04-01 NaN
2020-04-10 Nepal 0 0 9 0 3 0 5 0 0.00 0.43 Apr 2020 2020-04-01 NaN
2020-04-11 Nepal 0 0 9 0 0 0 4 0 0.00 0.00 Apr 2020 2020-04-01 NaN
2020-04-12 Nepal 3 0 12 0 3 0 7 0 0.00 0.43 Apr 2020 2020-04-01 NaN
2020-04-13 Nepal 2 0 14 0 5 0 9 0 0.00 0.71 Apr 2020 2020-04-01 NaN
2020-04-14 Nepal 2 0 16 0 7 0 11 0 0.00 1.00 Apr 2020 2020-04-01 NaN
2020-04-15 Nepal 0 0 16 0 7 0 11 0 0.00 1.00 Apr 2020 2020-04-01 NaN
2020-04-16 Nepal 0 0 16 0 7 0 10 0 0.00 1.00 Apr 2020 2020-04-01 NaN
2020-04-17 Nepal 14 0 30 0 21 0 24 0 0.00 3.00 Apr 2020 2020-04-01 NaN
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2020-05-18 Nepal 80 0 375 2 241 2 300 2 0.29 34.43 May 2020 2020-05-01 1.0000000
2020-05-19 Nepal 27 0 402 2 185 2 320 2 0.29 26.43 May 2020 2020-05-01 1.0000000
2020-05-20 Nepal 25 0 427 2 177 2 328 2 0.29 25.29 May 2020 2020-05-01 0.6666667
2020-05-21 Nepal 30 1 457 3 208 3 356 3 0.43 29.71 May 2020 2020-05-01 1.0000000
2020-05-22 Nepal 59 0 516 3 249 3 414 3 0.43 35.57 May 2020 2020-05-01 1.0000000
2020-05-23 Nepal 68 0 584 3 293 2 474 3 0.29 41.86 May 2020 2020-05-01 1.0000000
2020-05-24 Nepal 19 0 603 3 308 1 493 3 0.14 44.00 May 2020 2020-05-01 0.7500000
2020-05-25 Nepal 79 1 682 4 307 2 548 4 0.29 43.86 May 2020 2020-05-01 1.0000000
2020-05-26 Nepal 90 0 772 4 370 2 555 4 0.29 52.86 May 2020 2020-05-01 1.0000000
2020-05-27 Nepal 114 0 886 4 459 2 636 4 0.29 65.57 May 2020 2020-05-01 0.8000000
2020-05-28 Nepal 156 1 1042 5 585 2 793 5 0.29 83.57 May 2020 2020-05-01 0.8333333
2020-05-29 Nepal 170 1 1212 6 696 3 945 6 0.43 99.43 May 2020 2020-05-01 1.0000000
2020-05-30 Nepal 189 0 1401 6 817 3 1110 5 0.43 116.71 May 2020 2020-05-01 0.7500000
2020-05-31 Nepal 171 2 1572 8 969 5 1277 6 0.71 138.43 May 2020 2020-05-01 1.0000000
2020-06-01 Nepal 239 0 1811 8 1129 4 1436 6 0.57 161.29 Jun 2020 2020-06-01 1.0000000
2020-06-02 Nepal 288 0 2099 8 1327 4 1697 6 0.57 189.57 Jun 2020 2020-06-01 0.8888889
2020-06-03 Nepal 201 1 2300 9 1414 5 1873 7 0.71 202.00 Jun 2020 2020-06-01 0.9000000
2020-06-04 Nepal 334 1 2634 10 1592 5 2177 7 0.71 227.43 Jun 2020 2020-06-01 0.9090909
2020-06-05 Nepal 278 1 2912 11 1700 5 2396 8 0.71 242.86 Jun 2020 2020-06-01 0.8461538
2020-06-06 Nepal 323 2 3235 13 1834 7 2651 10 1.00 262.00 Jun 2020 2020-06-01 1.0000000
2020-06-07 Nepal 213 0 3448 13 1876 5 2845 10 0.71 268.00 Jun 2020 2020-06-01 0.9285714
2020-06-08 Nepal 314 1 3762 14 1951 6 3080 10 0.86 278.71 Jun 2020 2020-06-01 0.9333333
2020-06-09 Nepal 324 1 4086 15 1987 7 3314 11 1.00 283.86 Jun 2020 2020-06-01 1.0000000
2020-06-10 Nepal 278 0 4364 15 2064 6 3478 11 0.86 294.86 Jun 2020 2020-06-01 1.0000000
2020-06-11 Nepal 250 0 4614 15 1980 5 3572 10 0.71 282.86 Jun 2020 2020-06-01 0.9375000
2020-06-12 Nepal 448 1 5062 16 2150 5 3850 10 0.71 307.14 Jun 2020 2020-06-01 0.8888889
2020-06-13 Nepal 273 2 5335 18 2100 5 3934 12 0.71 300.00 Jun 2020 2020-06-01 0.9473684
2020-06-14 Nepal 425 1 5760 19 2312 6 4188 11 0.86 330.29 Jun 2020 2020-06-01 1.0000000
2020-06-15 Nepal 451 0 6211 19 2449 5 4400 11 0.71 349.86 Jun 2020 2020-06-01 1.0000000
2020-06-16 Nepal 380 0 6591 19 2505 4 4492 11 0.57 357.86 Jun 2020 2020-06-01 0.9500000
2020-06-17 Nepal 586 1 7177 20 2813 5 4877 11 0.71 401.86 Jun 2020 2020-06-01 0.9090909
2020-06-18 Nepal 671 2 7848 22 3234 7 5214 12 1.00 462.00 Jun 2020 2020-06-01 1.0000000
2020-06-19 Nepal 426 0 8274 22 3212 6 5362 11 0.86 458.86 Jun 2020 2020-06-01 1.0000000
2020-06-20 Nepal 331 0 8605 22 3270 4 5370 9 0.57 467.14 Jun 2020 2020-06-01 0.9565217
2020-06-21 Nepal 421 1 9026 23 3266 4 5578 10 0.57 466.57 Jun 2020 2020-06-01 1.0000000
2020-06-22 Nepal 535 0 9561 23 3350 4 5799 9 0.57 478.57 Jun 2020 2020-06-01 0.9583333
2020-06-23 Nepal 538 1 10099 24 3508 5 6013 9 0.71 501.14 Jun 2020 2020-06-01 1.0000000
2020-06-24 Nepal 629 0 10728 24 3551 4 6364 9 0.57 507.29 Jun 2020 2020-06-01 0.9230769
2020-06-25 Nepal 434 2 11162 26 3314 4 6548 11 0.57 473.43 Jun 2020 2020-06-01 0.9629630
2020-06-26 Nepal 593 1 11755 27 3481 5 6693 11 0.71 497.29 Jun 2020 2020-06-01 0.9642857
2020-06-27 Nepal 554 1 12309 28 3704 6 6974 10 0.86 529.14 Jun 2020 2020-06-01 1.0000000
2020-06-28 Nepal 463 0 12772 28 3746 5 7012 9 0.71 535.14 Jun 2020 2020-06-01 0.9655172
2020-06-29 Nepal 476 1 13248 29 3687 6 7037 10 0.86 526.71 Jun 2020 2020-06-01 1.0000000
2020-06-30 Nepal 316 0 13564 29 3465 5 6973 10 0.71 495.00 Jun 2020 2020-06-01 0.9666667
2020-07-01 Nepal 482 1 14046 30 3318 6 6869 10 0.86 474.00 Jul 2020 2020-07-01 0.9677419
2020-07-02 Nepal 473 1 14519 31 3357 5 6671 9 0.71 479.57 Jul 2020 2020-07-01 0.9687500
2020-07-03 Nepal 740 1 15259 32 3504 5 6985 10 0.71 500.57 Jul 2020 2020-07-01 0.9411765
2020-07-04 Nepal 232 2 15491 34 3182 6 6886 12 0.86 454.57 Jul 2020 2020-07-01 1.0000000
2020-07-05 Nepal 293 0 15784 34 3012 6 6758 11 0.86 430.29 Jul 2020 2020-07-01 0.9714286
2020-07-06 Nepal 180 1 15964 35 2716 6 6403 12 0.86 388.00 Jul 2020 2020-07-01 1.0000000
2020-07-07 Nepal 204 0 16168 35 2604 6 6069 11 0.86 372.00 Jul 2020 2020-07-01 1.0000000
2020-07-08 Nepal 255 0 16423 35 2377 5 5695 11 0.71 339.57 Jul 2020 2020-07-01 1.0000000
2020-07-09 Nepal 108 0 16531 35 2012 4 5369 9 0.57 287.43 Jul 2020 2020-07-01 1.0000000
2020-07-10 Nepal 118 0 16649 35 1390 3 4894 8 0.43 198.57 Jul 2020 2020-07-01 0.9210526
2020-07-11 Nepal 70 3 16719 38 1228 4 4410 10 0.57 175.43 Jul 2020 2020-07-01 1.0000000
2020-07-12 Nepal 82 0 16801 38 1017 4 4029 10 0.57 145.29 Jul 2020 2020-07-01 1.0000000
2020-07-13 Nepal 144 0 16945 38 981 3 3697 9 0.43 140.14 Jul 2020 2020-07-01 1.0000000
2020-07-14 Nepal 116 0 17061 38 893 3 3497 9 0.43 127.57 Jul 2020 2020-07-01 0.9743590
2020-07-15 Nepal 116 1 17177 39 754 4 3131 9 0.57 107.71 Jul 2020 2020-07-01 1.0000000
2020-07-16 Nepal 167 0 17344 39 813 4 2825 8 0.57 116.14 Jul 2020 2020-07-01 0.9750000
2020-07-17 Nepal 101 1 17445 40 796 5 2186 8 0.71 113.71 Jul 2020 2020-07-01 1.0000000
2020-07-18 Nepal 57 0 17502 40 783 2 2011 6 0.29 111.86 Jul 2020 2020-07-01 1.0000000
2020-07-19 Nepal 156 0 17658 40 857 2 1874 6 0.29 122.43 Jul 2020 2020-07-01 1.0000000
2020-07-20 Nepal 186 0 17844 40 899 2 1880 5 0.29 128.43 Jul 2020 2020-07-01 1.0000000
2020-07-21 Nepal 150 0 17994 40 933 2 1826 5 0.29 133.29 Jul 2020 2020-07-01 0.9523810
2020-07-22 Nepal 100 2 18094 42 917 3 1671 7 0.43 131.00 Jul 2020 2020-07-01 0.9767442
2020-07-23 Nepal 147 1 18241 43 897 4 1710 8 0.57 128.14 Jul 2020 2020-07-01 0.9772727
2020-07-24 Nepal 133 1 18374 44 929 4 1725 9 0.57 132.71 Jul 2020 2020-07-01 0.9777778
2020-07-25 Nepal 109 1 18483 45 981 5 1764 7 0.71 140.14 Jul 2020 2020-07-01 1.0000000
2020-07-26 Nepal 130 0 18613 45 955 5 1812 7 0.71 136.43 Jul 2020 2020-07-01 0.9375000
2020-07-27 Nepal 139 3 18752 48 908 8 1807 10 1.14 129.71 Jul 2020 2020-07-01 0.9795918
2020-07-28 Nepal 311 1 19063 49 1069 9 2002 11 1.29 152.71 Jul 2020 2020-07-01 1.0000000
2020-07-29 Nepal 210 0 19273 49 1179 7 2096 10 1.00 168.43 Jul 2020 2020-07-01 0.9423077
2020-07-30 Nepal 274 3 19547 52 1306 9 2203 13 1.29 186.57 Jul 2020 2020-07-01 0.9285714
2020-07-31 Nepal 224 4 19771 56 1397 12 2326 16 1.71 199.57 Jul 2020 2020-07-01 1.0000000
2020-08-01 Nepal 315 0 20086 56 1603 11 2584 16 1.57 229.00 Aug 2020 2020-08-01 0.9824561
2020-08-02 Nepal 246 1 20332 57 1719 12 2674 17 1.71 245.57 Aug 2020 2020-08-01 1.0000000
2020-08-03 Nepal 418 0 20750 57 1998 9 2906 17 1.29 285.43 Aug 2020 2020-08-01 0.9827586
2020-08-04 Nepal 259 1 21009 58 1946 9 3015 18 1.29 278.00 Aug 2020 2020-08-01 0.9666667
2020-08-05 Nepal 381 2 21390 60 2117 11 3296 18 1.57 302.43 Aug 2020 2020-08-01 0.9230769
2020-08-06 Nepal 360 5 21750 65 2203 13 3509 22 1.86 314.71 Aug 2020 2020-08-01 0.9285714
2020-08-07 Nepal 464 5 22214 70 2443 14 3840 26 2.00 349.00 Aug 2020 2020-08-01 0.9589041
2020-08-08 Nepal 378 3 22592 73 2506 17 4109 28 2.43 358.00 Aug 2020 2020-08-01 0.9733333
2020-08-09 Nepal 380 2 22972 75 2640 18 4359 30 2.57 377.14 Aug 2020 2020-08-01 0.9493671
2020-08-10 Nepal 338 4 23310 79 2560 22 4558 31 3.14 365.71 Aug 2020 2020-08-01 0.9518072
2020-08-11 Nepal 638 4 23948 83 2939 25 4885 34 3.57 419.86 Aug 2020 2020-08-01 0.9120879
2020-08-12 Nepal 484 8 24432 91 3042 31 5159 42 4.43 434.57 Aug 2020 2020-08-01 0.9578947
2020-08-13 Nepal 525 4 24957 95 3207 30 5410 43 4.29 458.14 Aug 2020 2020-08-01 0.9595960
2020-08-14 Nepal 594 4 25551 99 3337 29 5780 43 4.14 476.71 Aug 2020 2020-08-01 0.9705882
2020-08-15 Nepal 468 3 26019 102 3427 29 5933 46 4.14 489.57 Aug 2020 2020-08-01 0.9807692
2020-08-16 Nepal 641 2 26660 104 3688 29 6328 47 4.14 526.86 Aug 2020 2020-08-01 0.9719626
2020-08-17 Nepal 581 3 27241 107 3931 28 6491 50 4.00 561.57 Aug 2020 2020-08-01 0.9385965
2020-08-18 Nepal 1016 7 28257 114 4309 31 7248 56 4.43 615.57 Aug 2020 2020-08-01 0.9500000
2020-08-19 Nepal 681 6 28938 120 4506 29 7548 60 4.14 643.71 Aug 2020 2020-08-01 0.9523810
2020-08-20 Nepal 707 6 29645 126 4688 31 7895 61 4.43 669.71 Aug 2020 2020-08-01 0.9197080
2020-08-21 Nepal 838 11 30483 137 4932 38 8269 67 5.43 704.57 Aug 2020 2020-08-01 0.9383562
2020-08-22 Nepal 634 9 31117 146 5098 44 8525 73 6.29 728.29 Aug 2020 2020-08-01 0.9798658
2020-08-23 Nepal 818 3 31935 149 5275 45 8963 74 6.43 753.57 Aug 2020 2020-08-01 0.9490446
2020-08-24 Nepal 743 8 32678 157 5437 50 9368 78 7.14 776.71 Aug 2020 2020-08-01 0.9573171
2020-08-25 Nepal 855 7 33533 164 5276 50 9585 81 7.14 753.71 Aug 2020 2020-08-01 0.9371429
2020-08-26 Nepal 885 11 34418 175 5480 55 9986 84 7.86 782.86 Aug 2020 2020-08-01 0.9562842
2020-08-27 Nepal 1111 8 35529 183 5884 57 10572 88 8.14 840.57 Aug 2020 2020-08-01 0.9384615
2020-08-28 Nepal 927 12 36456 195 5973 58 10905 96 8.29 853.29 Aug 2020 2020-08-01 0.9420290
2020-08-29 Nepal 884 12 37340 207 6223 61 11321 105 8.71 889.00 Aug 2020 2020-08-01 0.9366516
2020-08-30 Nepal 1221 14 38561 221 6626 72 11901 117 10.29 946.57 Aug 2020 2020-08-01 0.9692982
2020-08-31 Nepal 899 7 39460 228 6782 71 12219 121 10.14 968.86 Aug 2020 2020-08-01 0.9539749
2020-09-01 Nepal 1069 11 40529 239 6996 75 12272 125 10.71 999.43 Sep 2020 2020-09-01 0.9521912
2020-09-02 Nepal 1120 12 41649 251 7231 76 12711 131 10.86 1033.00 Sep 2020 2020-09-01 0.9766537
2020-09-03 Nepal 1228 6 42877 257 7348 74 13232 131 10.57 1049.71 Sep 2020 2020-09-01 0.9483395
2020-09-04 Nepal 1359 14 44236 271 7780 76 13753 134 10.86 1111.43 Sep 2020 2020-09-01 0.9678571
2020-09-05 Nepal 1041 9 45277 280 7937 73 14160 134 10.43 1133.86 Sep 2020 2020-09-01 0.9688581
2020-09-06 Nepal 980 9 46257 289 7696 68 14322 140 9.71 1099.43 Sep 2020 2020-09-01 0.9633333
2020-09-07 Nepal 979 11 47236 300 7776 72 14558 143 10.29 1110.86 Sep 2020 2020-09-01 0.9803922
2020-09-08 Nepal 902 6 48138 306 7609 67 14605 142 9.57 1087.00 Sep 2020 2020-09-01 0.9807692
2020-09-09 Nepal 1081 6 49219 312 7570 61 14801 137 8.71 1081.43 Sep 2020 2020-09-01 0.9842271
2020-09-10 Nepal 1246 5 50465 317 7588 60 14936 134 8.57 1084.00 Sep 2020 2020-09-01 0.9844720
2020-09-11 Nepal 1454 5 51919 322 7683 51 15463 127 7.29 1097.57 Sep 2020 2020-09-01 0.9583333
2020-09-12 Nepal 1201 14 53120 336 7843 56 15780 129 8.00 1120.43 Sep 2020 2020-09-01 0.9739130
2020-09-13 Nepal 1039 9 54159 345 7902 56 15598 124 8.00 1128.86 Sep 2020 2020-09-01 0.9583333
2020-09-14 Nepal 1170 15 55329 360 8093 60 15869 132 8.57 1156.14 Sep 2020 2020-09-01 0.9703504
2020-09-15 Nepal 1459 11 56788 371 8650 65 16259 132 9.29 1235.71 Sep 2020 2020-09-01 0.9788918
2020-09-16 Nepal 1539 8 58327 379 9108 67 16678 128 9.57 1301.14 Sep 2020 2020-09-01 0.9895561
2020-09-17 Nepal 1246 4 59573 383 9108 66 16696 126 9.43 1301.14 Sep 2020 2020-09-01 0.9820513
2020-09-18 Nepal 2020 7 61593 390 9674 68 17357 119 9.71 1382.00 Sep 2020 2020-09-01 0.9725686
2020-09-19 Nepal 1204 11 62797 401 9677 65 17520 121 9.29 1382.43 Sep 2020 2020-09-01 0.9756691
2020-09-20 Nepal 1325 10 64122 411 9963 66 17865 122 9.43 1423.29 Sep 2020 2020-09-01 0.9625293
2020-09-21 Nepal 1154 16 65276 427 9947 67 18040 127 9.57 1421.00 Sep 2020 2020-09-01 0.9953380
2020-09-22 Nepal 1356 2 66632 429 9844 58 18494 123 8.29 1406.29 Sep 2020 2020-09-01 0.9839450
2020-09-23 Nepal 1172 7 67804 436 9477 57 18585 124 8.14 1353.86 Sep 2020 2020-09-01 0.9624724
2020-09-24 Nepal 1497 17 69301 453 9728 70 18836 136 10.00 1389.71 Sep 2020 2020-09-01 0.9869281
2020-09-25 Nepal 1313 6 70614 459 9021 69 18695 137 9.86 1288.71 Sep 2020 2020-09-01 0.9828694
2020-09-26 Nepal 1207 8 71821 467 9024 66 18701 131 9.43 1289.14 Sep 2020 2020-09-01 0.9790356
2020-09-27 Nepal 1573 10 73394 477 9272 66 19235 132 9.43 1324.57 Sep 2020 2020-09-01 0.9916840
2020-09-28 Nepal 1351 4 74745 481 9469 54 19416 121 7.71 1352.71 Sep 2020 2020-09-01 0.9796334
2020-09-29 Nepal 1513 10 76258 491 9626 62 19470 120 8.86 1375.14 Sep 2020 2020-09-01 0.9859438
2020-09-30 Nepal 1559 7 77817 498 10013 62 19490 119 8.86 1430.43 Sep 2020 2020-09-01 0.9783890
2020-10-01 Nepal 1911 11 79728 509 10427 56 20155 126 8.00 1489.57 Oct 2020 2020-10-01 0.9788462
2020-10-02 Nepal 2722 11 82450 520 11836 61 20857 130 8.71 1690.86 Oct 2020 2020-10-01 0.9848485
2020-10-03 Nepal 2120 8 84570 528 12749 61 21773 127 8.71 1821.29 Oct 2020 2020-10-01 0.9869159
2020-10-04 Nepal 2253 7 86823 535 13429 58 22701 124 8.29 1918.43 Oct 2020 2020-10-01 0.9657040
2020-10-05 Nepal 2440 19 89263 554 14518 73 23987 127 10.43 2074.00 Oct 2020 2020-10-01 0.9840142
2020-10-06 Nepal 1551 9 90814 563 14556 72 24182 134 10.29 2079.43 Oct 2020 2020-10-01 0.9740484
2020-10-07 Nepal 3439 15 94253 578 16436 80 26449 142 11.43 2348.00 Oct 2020 2020-10-01 0.9796610
2020-10-08 Nepal 4364 12 98617 590 18889 81 29316 137 11.57 2698.43 Oct 2020 2020-10-01 0.9833333
2020-10-09 Nepal 2059 10 100676 600 18226 80 30062 141 11.43 2603.71 Oct 2020 2020-10-01 0.9771987
2020-10-10 Nepal 5008 14 105684 614 21114 86 33863 147 12.29 3016.29 Oct 2020 2020-10-01 0.9654088
2020-10-11 Nepal 2071 22 107755 636 20932 101 34361 159 14.43 2990.29 Oct 2020 2020-10-01 0.9860465
2020-10-12 Nepal 4047 9 111802 645 22539 91 37057 164 13.00 3219.86 Oct 2020 2020-10-01 0.9728507
2020-10-13 Nepal 3556 18 115358 663 24544 100 39100 172 14.29 3506.29 Oct 2020 2020-10-01 0.9822222
2020-10-14 Nepal 2638 12 117996 675 23743 97 40179 177 13.86 3391.86 Oct 2020 2020-10-01 0.9726225
2020-10-15 Nepal 3749 19 121745 694 23128 104 42017 185 14.86 3304.00 Oct 2020 2020-10-01 0.9706294
2020-10-16 Nepal 4392 21 126137 715 25461 115 43687 195 16.43 3637.29 Oct 2020 2020-10-01 0.9834938
2020-10-17 Nepal 3167 12 129304 727 23620 113 44734 199 16.14 3374.29 Oct 2020 2020-10-01 0.9837618
2020-10-18 Nepal 2942 12 132246 739 24491 103 45423 204 14.71 3498.71 Oct 2020 2020-10-01 0.9762219
2020-10-19 Nepal 3790 18 136036 757 24234 112 46773 203 16.00 3462.00 Oct 2020 2020-10-01 0.9895425
2020-10-20 Nepal 3093 8 139129 765 23771 102 48315 202 14.57 3395.86 Oct 2020 2020-10-01 0.9671302
2020-10-21 Nepal 5743 26 144872 791 26876 116 50619 213 16.57 3839.43 Oct 2020 2020-10-01 0.9741379
2020-10-22 Nepal 3637 21 148509 812 26764 118 49892 222 16.86 3823.43 Oct 2020 2020-10-01 0.9794934
2020-10-23 Nepal 4499 17 153008 829 26871 114 52332 229 16.29 3838.71 Oct 2020 2020-10-01 0.9845606
2020-10-24 Nepal 2225 13 155233 842 25929 115 49549 228 16.43 3704.14 Oct 2020 2020-10-01 0.9940968
2020-10-25 Nepal 2856 5 158089 847 25843 108 50334 211 15.43 3691.86 Oct 2020 2020-10-01 0.9825986
2020-10-26 Nepal 1741 15 159830 862 23794 105 48028 217 15.00 3399.14 Oct 2020 2020-10-01 0.9840183
2020-10-27 Nepal 570 14 160400 876 21271 111 45042 213 15.86 3038.71 Oct 2020 2020-10-01 0.9875986
2020-10-28 Nepal 1954 11 162354 887 17482 96 44358 212 13.71 2497.43 Oct 2020 2020-10-01 0.9811947
2020-10-29 Nepal 2364 17 164718 904 16209 92 42973 210 13.14 2315.57 Oct 2020 2020-10-01 0.9826087
2020-10-30 Nepal 3517 16 168235 920 15227 91 42098 205 13.00 2175.29 Oct 2020 2020-10-01 0.9818570
2020-10-31 Nepal 2508 17 170743 937 15510 95 41439 210 13.57 2215.71 Oct 2020 2020-10-01 0.9760417
2020-11-01 Nepal 2824 23 173567 960 15478 113 41321 221 16.14 2211.14 Nov 2020 2020-11-01 0.9756098
2020-11-02 Nepal 2933 24 176500 984 16670 122 40464 227 17.43 2381.43 Nov 2020 2020-11-01 0.9800797
2020-11-03 Nepal 3114 20 179614 1004 19214 128 40485 239 18.29 2744.86 Nov 2020 2020-11-01 0.9709865
2020-11-04 Nepal 3309 30 182923 1034 20569 147 38051 243 21.00 2938.43 Nov 2020 2020-11-01 0.9828897
2020-11-05 Nepal 3051 18 185974 1052 21256 148 37465 240 21.14 3036.57 Nov 2020 2020-11-01 0.9831776
2020-11-06 Nepal 2909 18 188883 1070 20648 150 35875 241 21.43 2949.71 Nov 2020 2020-11-01 0.9843606
2020-11-07 Nepal 2753 17 191636 1087 20893 150 36403 245 21.43 2984.71 Nov 2020 2020-11-01 0.9810469
2020-11-08 Nepal 2817 21 194453 1108 20886 148 36364 261 21.14 2983.71 Nov 2020 2020-11-01 0.9840142
2020-11-09 Nepal 2571 18 197024 1126 20524 142 37194 264 20.29 2932.00 Nov 2020 2020-11-01 0.9808362
2020-11-10 Nepal 2736 22 199760 1148 20146 144 39360 272 20.57 2878.00 Nov 2020 2020-11-01 0.9778535
2020-11-11 Nepal 2569 26 202329 1174 19406 140 39975 287 20.00 2772.29 Nov 2020 2020-11-01 0.9873844
2020-11-12 Nepal 1913 15 204242 1189 18268 137 39524 285 19.57 2609.71 Nov 2020 2020-11-01 0.9891847
2020-11-13 Nepal 2111 13 206353 1202 17470 132 38118 282 18.86 2495.71 Nov 2020 2020-11-01 0.9893004
2020-11-14 Nepal 1946 13 208299 1215 16663 128 37556 278 18.29 2380.43 Nov 2020 2020-11-01 0.9950860
2020-11-15 Nepal 1477 6 209776 1221 15323 113 36209 261 16.14 2189.00 Nov 2020 2020-11-01 0.9926829
2020-11-16 Nepal 1197 9 210973 1230 13949 104 34473 246 14.86 1992.71 Nov 2020 2020-11-01 0.9863673
2020-11-17 Nepal 502 17 211475 1247 11715 99 31861 243 14.14 1673.57 Nov 2020 2020-11-01 0.9904686
2020-11-18 Nepal 1442 12 212917 1259 10588 85 29994 225 12.14 1512.57 Nov 2020 2020-11-01 0.9866771
2020-11-19 Nepal 2103 17 215020 1276 10778 87 29046 224 12.43 1539.71 Nov 2020 2020-11-01 0.9830508
2020-11-20 Nepal 1945 22 216965 1298 10612 96 28082 228 13.71 1516.00 Nov 2020 2020-11-01 0.9946360
2020-11-21 Nepal 1674 7 218639 1305 10340 90 27003 218 12.86 1477.14 Nov 2020 2020-11-01 0.9878880
2020-11-22 Nepal 1669 16 220308 1321 10532 100 25855 213 14.29 1504.57 Nov 2020 2020-11-01 0.9880329
2020-11-23 Nepal 1980 16 222288 1337 11315 107 25264 211 15.29 1616.43 Nov 2020 2020-11-01 0.9823659
2020-11-24 Nepal 1790 24 224078 1361 12603 114 24318 213 16.29 1800.43 Nov 2020 2020-11-01 0.9798416
2020-11-25 Nepal 1948 28 226026 1389 13109 130 23697 215 18.57 1872.71 Nov 2020 2020-11-01 0.9837110
2020-11-26 Nepal 1614 23 227640 1412 12620 136 23398 223 19.43 1802.86 Nov 2020 2020-11-01 0.9839721
2020-11-27 Nepal 1703 23 229343 1435 12378 137 22990 233 19.57 1768.29 Nov 2020 2020-11-01 0.9869326
2020-11-28 Nepal 1380 19 230723 1454 12084 149 22424 239 21.29 1726.29 Nov 2020 2020-11-01 0.9830967
2020-11-29 Nepal 1255 25 231978 1479 11670 158 22202 258 22.57 1667.14 Nov 2020 2020-11-01 0.9807692
2020-11-30 Nepal 1474 29 233452 1508 11164 171 22479 278 24.43 1594.86 Nov 2020 2020-11-01 0.9862655
2020-12-01 Nepal 0 21 233452 1529 9374 168 21977 282 24.00 1339.14 Dec 2020 2020-12-01 0.9941482
2020-12-02 Nepal 2794 9 236246 1538 10220 149 23329 279 21.29 1460.00 Dec 2020 2020-12-01 0.9916183
2020-12-03 Nepal 1343 13 237589 1551 9949 139 22569 275 19.86 1421.29 Dec 2020 2020-12-01 0.9897894
2020-12-04 Nepal 1272 16 238861 1567 9518 132 21896 269 18.86 1359.71 Dec 2020 2020-12-01 0.9936588
2020-12-05 Nepal 1024 10 239885 1577 9162 123 21246 272 17.57 1308.86 Dec 2020 2020-12-01 0.9893350
2020-12-06 Nepal 1096 17 240981 1594 9003 115 20673 273 16.43 1286.14 Dec 2020 2020-12-01 0.9876084
2020-12-07 Nepal 1014 20 241995 1614 8543 106 19707 277 15.14 1220.43 Dec 2020 2020-12-01 0.9859499
2020-12-08 Nepal 1382 23 243377 1637 9925 108 19299 276 15.43 1417.86 Dec 2020 2020-12-01 0.9915203
2020-12-09 Nepal 1056 14 244433 1651 8187 113 18407 262 16.14 1169.57 Dec 2020 2020-12-01 0.9927841
2020-12-10 Nepal 1217 12 245650 1663 8061 112 18010 251 16.00 1151.57 Dec 2020 2020-12-01 0.9934289
2020-12-11 Nepal 1044 11 246694 1674 7833 107 17351 239 15.29 1119.00 Dec 2020 2020-12-01 0.9911190
2020-12-12 Nepal 899 15 247593 1689 7708 112 16870 235 16.00 1101.14 Dec 2020 2020-12-01 0.9946996
2020-12-13 Nepal 830 9 248423 1698 7442 104 16445 219 14.86 1063.14 Dec 2020 2020-12-01 0.9895105
2020-12-14 Nepal 821 18 249244 1716 7249 102 15792 208 14.57 1035.57 Dec 2020 2020-12-01 0.9919075
2020-12-15 Nepal 936 14 250180 1730 6803 93 16728 201 13.29 971.86 Dec 2020 2020-12-01 0.9925416
2020-12-16 Nepal 736 13 250916 1743 6483 92 14670 205 13.14 926.14 Dec 2020 2020-12-01 0.9965695
2020-12-17 Nepal 776 6 251692 1749 6042 86 14103 198 12.29 863.14 Dec 2020 2020-12-01 0.9909348
2020-12-18 Nepal 782 16 252474 1765 5780 91 13613 198 13.00 825.71 Dec 2020 2020-12-01 0.9932470
2020-12-19 Nepal 710 12 253184 1777 5591 88 13299 200 12.57 798.71 Dec 2020 2020-12-01 0.9938479
2020-12-20 Nepal 588 11 253772 1788 5349 90 12791 194 12.86 764.14 Dec 2020 2020-12-01 0.9961003
2020-12-21 Nepal 742 7 254514 1795 5270 79 12519 181 11.29 752.86 Dec 2020 2020-12-01 0.9983315
2020-12-22 Nepal 722 3 255236 1798 5056 68 11859 161 9.71 722.29 Dec 2020 2020-12-01 0.9972268
2020-12-23 Nepal 743 5 255979 1803 5063 60 11546 152 8.57 723.29 Dec 2020 2020-12-01 0.9972345
2020-12-24 Nepal 613 5 256592 1808 4900 59 10942 145 8.43 700.00 Dec 2020 2020-12-01 0.9955947
2020-12-25 Nepal 608 8 257200 1816 4726 51 10506 142 7.29 675.14 Dec 2020 2020-12-01 0.9983507
2020-12-26 Nepal 500 3 257700 1819 4516 42 10107 130 6.00 645.14 Dec 2020 2020-12-01 0.9967123
2020-12-27 Nepal 481 6 258181 1825 4409 37 9758 127 5.29 629.86 Dec 2020 2020-12-01 0.9961790
2020-12-28 Nepal 659 7 258840 1832 4326 37 9596 116 5.29 618.00 Dec 2020 2020-12-01 0.9956522
2020-12-29 Nepal 708 8 259548 1840 4312 42 9368 110 6.00 616.00 Dec 2020 2020-12-01 0.9962101
2020-12-30 Nepal 511 7 260059 1847 4080 44 9143 104 6.29 582.86 Dec 2020 2020-12-01 0.9951509
2020-12-31 Nepal 534 9 260593 1856 4001 48 8901 107 6.86 571.57 Dec 2020 2020-12-01 0.9957082
2021-01-01 Nepal 426 8 261019 1864 3819 48 8545 99 6.86 545.57 Jan 2021 2021-01-01 0.9967914
2021-01-02 Nepal 419 6 261438 1870 3738 51 8254 93 7.29 534.00 Jan 2021 2021-01-01 0.9957401
2021-01-03 Nepal 421 8 261859 1878 3678 53 8087 90 7.57 525.43 Jan 2021 2021-01-01 0.9962865
2021-01-04 Nepal 403 7 262262 1885 3422 53 7748 90 7.57 488.86 Jan 2021 2021-01-01 0.9957739
2021-01-05 Nepal 522 8 262784 1893 3236 53 7548 95 7.57 462.29 Jan 2021 2021-01-01 0.9968404
2021-01-06 Nepal 409 6 263193 1899 3134 52 7214 96 7.43 447.71 Jan 2021 2021-01-01 0.9978981
2021-01-07 Nepal 412 4 263605 1903 3012 47 7013 95 6.71 430.29 Jan 2021 2021-01-01 0.9968570
2021-01-08 Nepal 554 6 264159 1909 3140 45 6959 93 6.43 448.57 Jan 2021 2021-01-01 0.9984310
2021-01-09 Nepal 362 3 264521 1912 3083 42 6821 93 6.00 440.43 Jan 2021 2021-01-01 0.9973918
2021-01-10 Nepal 259 5 264780 1917 2921 39 6599 92 5.57 417.29 Jan 2021 2021-01-01 0.9948106
2021-01-11 Nepal 488 10 265268 1927 3006 42 6428 95 6.00 429.43 Jan 2021 2021-01-01 0.9974120
2021-01-12 Nepal 430 5 265698 1932 2914 39 6150 92 5.57 416.29 Jan 2021 2021-01-01 0.9974187
2021-01-13 Nepal 445 5 266143 1937 2950 38 6084 90 5.43 421.43 Jan 2021 2021-01-01 0.9969120
2021-01-14 Nepal 403 6 266546 1943 2941 40 5953 87 5.71 420.14 Jan 2021 2021-01-01 0.9974333
2021-01-15 Nepal 270 5 266816 1948 2657 39 5797 84 5.57 379.57 Jan 2021 2021-01-01 0.9969294
2021-01-16 Nepal 240 6 267056 1954 2535 42 5618 84 6.00 362.14 Jan 2021 2021-01-01 0.9974477
2021-01-17 Nepal 266 5 267322 1959 2542 42 5463 81 6.00 363.14 Jan 2021 2021-01-01 0.9969466
2021-01-18 Nepal 322 6 267644 1965 2376 38 5382 80 5.43 339.43 Jan 2021 2021-01-01 0.9979685
2021-01-19 Nepal 348 4 267992 1969 2294 37 5208 76 5.29 327.71 Jan 2021 2021-01-01 0.9969620
2021-01-20 Nepal 318 6 268310 1975 2167 38 5117 76 5.43 309.57 Jan 2021 2021-01-01 0.9979788
2021-01-21 Nepal 336 4 268646 1979 2100 36 5041 76 5.14 300.00 Jan 2021 2021-01-01 0.9964753
2021-01-22 Nepal 302 7 268948 1986 2132 38 4789 77 5.43 304.57 Jan 2021 2021-01-01 0.9959880
2021-01-23 Nepal 232 8 269180 1994 2124 40 4659 82 5.71 303.43 Jan 2021 2021-01-01 0.9965017
2021-01-24 Nepal 270 7 269450 2001 2128 42 4670 84 6.00 304.00 Jan 2021 2021-01-01 0.9950273
2021-01-25 Nepal 339 10 269789 2011 2145 46 4521 84 6.57 306.43 Jan 2021 2021-01-01 0.9970253
2021-01-26 Nepal 303 6 270092 2017 2100 48 4394 85 6.86 300.00 Jan 2021 2021-01-01 0.9985149
2021-01-27 Nepal 283 3 270375 2020 2065 45 4232 83 6.43 295.00 Jan 2021 2021-01-01 1.0000000
2021-01-28 Nepal 213 0 270588 2020 1942 41 4042 77 5.86 277.43 Jan 2021 2021-01-01 0.9975309
2021-01-29 Nepal 157 5 270745 2025 1797 39 3929 77 5.57 256.71 Jan 2021 2021-01-01 0.9990133
2021-01-30 Nepal 109 2 270854 2027 1674 33 3798 73 4.71 239.14 Jan 2021 2021-01-01 0.9990143
2021-01-31 Nepal 105 2 270959 2029 1509 28 3637 70 4.00 215.57 Jan 2021 2021-01-01 1.0000000
2021-02-01 Nepal 159 0 271118 2029 1329 18 3474 64 2.57 189.86 Feb 2021 2021-02-01 0.9995074
2021-02-02 Nepal 171 1 271289 2030 1197 13 3297 61 1.86 171.00 Feb 2021 2021-02-01 0.9995076
2021-02-03 Nepal 142 1 271431 2031 1056 11 3121 56 1.57 150.86 Feb 2021 2021-02-01 0.9990162
2021-02-04 Nepal 171 2 271602 2033 1014 13 2956 54 1.86 144.86 Feb 2021 2021-02-01 0.9990172
2021-02-05 Nepal 105 2 271707 2035 962 10 2759 49 1.43 137.43 Feb 2021 2021-02-01 1.0000000
2021-02-06 Nepal 99 0 271806 2035 952 8 2626 41 1.14 136.00 Feb 2021 2021-02-01 0.9985280
2021-02-07 Nepal 119 3 271925 2038 966 9 2475 37 1.29 138.00 Feb 2021 2021-02-01 0.9965770
2021-02-08 Nepal 130 7 272055 2045 937 16 2266 34 2.29 133.86 Feb 2021 2021-02-01 0.9990230
2021-02-09 Nepal 160 2 272215 2047 926 17 2123 30 2.43 132.29 Feb 2021 2021-02-01 1.0000000
2021-02-10 Nepal 134 0 272349 2047 918 16 1974 27 2.29 131.14 Feb 2021 2021-02-01 0.9975634
2021-02-11 Nepal 81 5 272430 2052 828 19 1842 32 2.71 118.29 Feb 2021 2021-02-01 0.9990263
2021-02-12 Nepal 127 2 272557 2054 850 19 1812 29 2.71 121.43 Feb 2021 2021-02-01 1.0000000
2021-02-13 Nepal 57 0 272614 2054 808 19 1760 27 2.71 115.43 Feb 2021 2021-02-01 1.0000000
2021-02-14 Nepal 104 0 272718 2054 793 16 1759 25 2.29 113.29 Feb 2021 2021-02-01 0.9995134
2021-02-15 Nepal 122 1 272840 2055 785 10 1722 26 1.43 112.14 Feb 2021 2021-02-01 1.0000000
2021-02-16 Nepal 105 0 272945 2055 730 8 1656 25 1.14 104.29 Feb 2021 2021-02-01 1.0000000
2021-02-17 Nepal 125 0 273070 2055 721 8 1639 24 1.14 103.00 Feb 2021 2021-02-01 0.9985423
2021-02-18 Nepal 96 3 273166 2058 736 6 1564 25 0.86 105.14 Feb 2021 2021-02-01 0.9985444
2021-02-19 Nepal 97 3 273263 2061 706 7 1556 26 1.00 100.86 Feb 2021 2021-02-01 1.0000000
2021-02-20 Nepal 88 0 273351 2061 737 7 1545 26 1.00 105.29 Feb 2021 2021-02-01 1.0000000
2021-02-21 Nepal 80 0 273431 2061 713 7 1506 23 1.00 101.86 Feb 2021 2021-02-01 1.0000000
2021-02-22 Nepal 125 0 273556 2061 716 6 1501 16 0.86 102.29 Feb 2021 2021-02-01 0.9980630
2021-02-23 Nepal 110 4 273666 2065 721 10 1451 18 1.43 103.00 Feb 2021 2021-02-01 0.7693741
2021-02-24 Nepal 94 619 273760 2684 690 629 1411 637 89.86 98.57 Feb 2021 2021-02-01 0.9996276
2021-02-25 Nepal 112 1 273872 2685 706 627 1442 633 89.57 100.86 Feb 2021 2021-02-01 0.9689643
2021-02-26 Nepal 112 86 273984 2771 721 710 1427 717 101.43 103.00 Feb 2021 2021-02-01 0.9992788
2021-02-27 Nepal 81 2 274065 2773 714 712 1451 719 101.71 102.00 Feb 2021 2021-02-01 0.9996395
2021-02-28 Nepal 78 1 274143 2774 712 713 1425 720 101.86 101.71 Feb 2021 2021-02-01 0.9989197
2021-03-01 Nepal 73 3 274216 2777 660 716 1376 722 102.29 94.29 Mar 2021 2021-03-01 1.0000000
2021-03-02 Nepal 78 0 274294 2777 628 712 1349 722 101.71 89.71 Mar 2021 2021-03-01 0.9996400
2021-03-03 Nepal 87 1 274381 2778 621 94 1311 723 13.43 88.71 Mar 2021 2021-03-01 1.0000000
2021-03-04 Nepal 107 0 274488 2778 616 93 1322 720 13.29 88.00 Mar 2021 2021-03-01 0.9229236
2021-03-05 Nepal 120 232 274608 3010 624 239 1345 949 34.14 89.14 Mar 2021 2021-03-01 1.0000000
2021-03-06 Nepal 47 0 274655 3010 590 237 1304 949 33.86 84.29 Mar 2021 2021-03-01 1.0000000
2021-03-07 Nepal 66 0 274721 3010 578 236 1290 949 33.71 82.57 Mar 2021 2021-03-01 0.9996679
2021-03-08 Nepal 89 1 274810 3011 594 234 1254 950 33.43 84.86 Mar 2021 2021-03-01 0.9996680
2021-03-09 Nepal 59 1 274869 3012 575 235 1203 947 33.57 82.14 Mar 2021 2021-03-01 1.0000000
2021-03-10 Nepal 104 0 274973 3012 592 234 1213 328 33.43 84.57 Mar 2021 2021-03-01 1.0000000
2021-03-11 Nepal 97 0 275070 3012 582 234 1198 327 33.43 83.14 Mar 2021 2021-03-01 1.0000000
2021-03-12 Nepal 48 0 275118 3012 510 2 1134 241 0.29 72.86 Mar 2021 2021-03-01 0.9993364
2021-03-13 Nepal 60 2 275178 3014 523 4 1113 241 0.57 74.71 Mar 2021 2021-03-01 1.0000000
2021-03-14 Nepal 53 0 275231 3014 510 4 1088 240 0.57 72.86 Mar 2021 2021-03-01 1.0000000
2021-03-15 Nepal 79 0 275310 3014 500 3 1094 237 0.43 71.43 Mar 2021 2021-03-01 1.0000000
2021-03-16 Nepal 114 0 275424 3014 555 2 1130 237 0.29 79.29 Mar 2021 2021-03-01 1.0000000
2021-03-17 Nepal 94 0 275518 3014 545 2 1137 236 0.29 77.86 Mar 2021 2021-03-01 0.9996683
2021-03-18 Nepal 107 1 275625 3015 555 3 1137 237 0.43 79.29 Mar 2021 2021-03-01 0.9996684
2021-03-19 Nepal 125 1 275750 3016 632 4 1142 6 0.57 90.29 Mar 2021 2021-03-01 1.0000000
2021-03-20 Nepal 79 0 275829 3016 651 2 1174 6 0.29 93.00 Mar 2021 2021-03-01 1.0000000
2021-03-21 Nepal 77 0 275906 3016 675 2 1185 6 0.29 96.43 Mar 2021 2021-03-01 0.9990063
2021-03-22 Nepal 150 3 276056 3019 746 5 1246 8 0.71 106.57 Mar 2021 2021-03-01 1.0000000
2021-03-23 Nepal 188 0 276244 3019 820 5 1375 7 0.71 117.14 Mar 2021 2021-03-01 0.9996689
2021-03-24 Nepal 145 1 276389 3020 871 6 1416 8 0.86 124.43 Mar 2021 2021-03-01 1.0000000
2021-03-25 Nepal 120 0 276509 3020 884 5 1439 8 0.71 126.29 Mar 2021 2021-03-01 0.9986772
2021-03-26 Nepal 156 4 276665 3024 915 8 1547 12 1.14 130.71 Mar 2021 2021-03-01 0.9990089
2021-03-27 Nepal 85 3 276750 3027 921 11 1572 13 1.57 131.57 Mar 2021 2021-03-01 1.0000000
2021-03-28 Nepal 89 0 276839 3027 933 11 1608 13 1.57 133.29 Mar 2021 2021-03-01 1.0000000
2021-03-29 Nepal 141 0 276980 3027 924 8 1670 13 1.14 132.00 Mar 2021 2021-03-01 0.9990099
2021-03-30 Nepal 167 3 277147 3030 903 11 1723 16 1.57 129.00 Mar 2021 2021-03-01 1.0000000
2021-03-31 Nepal 162 0 277309 3030 920 10 1791 16 1.43 131.43 Mar 2021 2021-03-01 0.9996701
2021-04-01 Nepal 152 1 277461 3031 952 11 1836 16 1.57 136.00 Apr 2021 2021-04-01 1.0000000
2021-04-02 Nepal 179 0 277640 3031 975 7 1890 15 1.00 139.29 Apr 2021 2021-04-01 0.9996702
2021-04-03 Nepal 128 1 277768 3032 1018 5 1939 16 0.71 145.43 Apr 2021 2021-04-01 1.0000000
2021-04-04 Nepal 176 0 277944 3032 1105 5 2038 16 0.71 157.86 Apr 2021 2021-04-01 0.9986825
2021-04-05 Nepal 266 4 278210 3036 1230 9 2154 17 1.29 175.71 Apr 2021 2021-04-01 1.0000000
2021-04-06 Nepal 260 0 278470 3036 1323 6 2226 17 0.86 189.00 Apr 2021 2021-04-01 0.9993417
2021-04-07 Nepal 298 2 278768 3038 1459 8 2379 18 1.14 208.43 Apr 2021 2021-04-01 1.0000000
2021-04-08 Nepal 332 0 279100 3038 1639 7 2591 18 1.00 234.14 Apr 2021 2021-04-01 1.0000000
2021-04-09 Nepal 288 0 279388 3038 1748 7 2723 14 1.00 249.71 Apr 2021 2021-04-01 0.9996709
2021-04-10 Nepal 337 1 279725 3039 1957 7 2975 12 1.00 279.57 Apr 2021 2021-04-01 0.9996711
2021-04-11 Nepal 303 1 280028 3040 2084 8 3189 13 1.14 297.71 Apr 2021 2021-04-01 0.9957419
2021-04-12 Nepal 496 13 280524 3053 2314 17 3544 26 2.43 330.57 Apr 2021 2021-04-01 0.9983649
2021-04-13 Nepal 460 5 280984 3058 2514 22 3837 28 3.14 359.14 Apr 2021 2021-04-01 0.9990199
2021-04-14 Nepal 580 3 281564 3061 2796 23 4255 31 3.29 399.43 Apr 2021 2021-04-01 0.9983692
2021-04-15 Nepal 490 5 282054 3066 2954 28 4593 35 4.00 422.00 Apr 2021 2021-04-01 0.9986971
2021-04-16 Nepal 836 4 282890 3070 3502 32 5250 39 4.57 500.29 Apr 2021 2021-04-01 0.9983740
2021-04-17 Nepal 768 5 283658 3075 3933 36 5890 43 5.14 561.86 Apr 2021 2021-04-01 0.9974051
2021-04-18 Nepal 1015 8 284673 3083 4645 43 6729 51 6.14 663.57 Apr 2021 2021-04-01 0.9974118
2021-04-19 Nepal 1227 8 285900 3091 5376 38 7690 55 5.43 768.00 Apr 2021 2021-04-01 0.9964539
2021-04-20 Nepal 1667 11 287567 3102 6583 44 9097 66 6.29 940.43 Apr 2021 2021-04-01 0.9967866
2021-04-21 Nepal 2220 10 289787 3112 8223 51 11019 74 7.29 1174.71 Apr 2021 2021-04-01 0.9983959
2021-04-22 Nepal 2365 5 292152 3117 10098 51 13052 79 7.29 1442.57 Apr 2021 2021-04-01 0.9983985
2021-04-23 Nepal 2449 5 294601 3122 11711 52 15213 84 7.43 1673.00 Apr 2021 2021-04-01 0.9955357
2021-04-24 Nepal 2486 14 297087 3136 13429 61 17362 97 8.71 1918.43 Apr 2021 2021-04-01 0.9911504
2021-04-25 Nepal 3032 28 300119 3164 15446 81 20091 124 11.57 2206.57 Apr 2021 2021-04-01 0.9962217
2021-04-26 Nepal 3442 12 303561 3176 17661 85 23037 123 12.14 2523.00 Apr 2021 2021-04-01 0.9943644
2021-04-27 Nepal 4364 18 307925 3194 20358 92 26941 136 13.14 2908.29 Apr 2021 2021-04-01 0.9947057
2021-04-28 Nepal 4774 17 312699 3211 22912 99 31135 150 14.14 3273.14 Apr 2021 2021-04-01 0.9892175
2021-04-29 Nepal 4831 35 317530 3246 25378 129 35476 180 18.43 3625.43 Apr 2021 2021-04-01 0.9899360
2021-04-30 Nepal 5657 33 323187 3279 28586 157 40297 209 22.43 4083.71 Apr 2021 2021-04-01 0.9942389
2021-05-01 Nepal 5706 19 328893 3298 31806 162 45235 223 23.14 4543.71 May 2021 2021-05-01 0.9918797
2021-05-02 Nepal 7137 27 336030 3325 35911 161 51357 242 23.00 5130.14 May 2021 2021-05-01 0.9889946
2021-05-03 Nepal 7388 37 343418 3362 39857 186 57518 271 26.57 5693.86 May 2021 2021-05-01 0.9839040
2021-05-04 Nepal 7587 55 351005 3417 43080 223 63438 315 31.86 6154.29 May 2021 2021-05-01 0.9833094
2021-05-05 Nepal 8605 58 359610 3475 46911 264 69823 363 37.71 6701.57 May 2021 2021-05-01 0.9846982
2021-05-06 Nepal 8970 54 368580 3529 51050 283 76428 412 40.43 7292.86 May 2021 2021-05-01 0.9860296
2021-05-07 Nepal 9023 50 377603 3579 54416 300 83002 457 42.86 7773.71 May 2021 2021-05-01 0.9854075
2021-05-08 Nepal 8287 53 385890 3632 56997 334 88803 496 47.71 8142.43 May 2021 2021-05-01 0.9763441
2021-05-09 Nepal 8777 88 394667 3720 58637 395 94548 556 56.43 8376.71 May 2021 2021-05-01 0.9639803
2021-05-10 Nepal 9127 139 403794 3859 60376 497 100233 683 71.00 8625.14 May 2021 2021-05-01 0.9449070
2021-05-11 Nepal 9317 225 413111 4084 62106 667 105186 890 95.29 8872.29 May 2021 2021-05-01 0.9604892
2021-05-12 Nepal 9238 168 422349 4252 62739 777 109650 1041 111.00 8962.71 May 2021 2021-05-01 0.9520824
2021-05-13 Nepal 8842 214 431191 4466 62611 937 113661 1220 133.86 8944.43 May 2021 2021-05-01 0.9565217
2021-05-14 Nepal 8467 203 439658 4669 62055 1090 116471 1390 155.71 8865.00 May 2021 2021-05-01 0.9614909
2021-05-15 Nepal 8046 187 447704 4856 61814 1224 118811 1558 174.86 8830.57 May 2021 2021-05-01 0.9710058
2021-05-16 Nepal 7316 145 455020 5001 60353 1281 118990 1676 183.00 8621.86 May 2021 2021-05-01 0.9589645
2021-05-17 Nepal 9198 214 464218 5215 60424 1356 120800 1853 193.71 8632.00 May 2021 2021-05-01 0.9637775
2021-05-18 Nepal 8136 196 472354 5411 59243 1327 121349 1994 189.57 8463.29 May 2021 2021-05-01 NA